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6 months ago 👋 Hello @zjhleaning, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.
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Requirements
Python>=3.6.0 with all requirements.txt installed including PyTorch>=1.7. To get started:
$ git clone https://github.com/ultralytics/yolov5
$ cd yolov5
$ pip install -r requirements.txtEnvironments
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- Google Cloud Deep Learning VM. See GCP Quickstart Guide
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- Docker Image. See Docker Quickstart Guide
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Jidkboh
I encountered the following error while reproducing your code：RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
The specific details are as follows： Plotting labels... Image sizes 640 train, 640 val Using 8 dataloader workers Logging results to runs/train/exp Starting training for 300 epochs...
0%| | 0/183 [00:02<?, ?it/s] Traceback (most recent call last): File "/data/master21/zhujh/software/pythonProject/quantized-yolov5-quantized_yolo/train.py", line 653, in
main(opt)
File "/data/master21/zhujh/software/pythonProject/quantized-yolov5-quantized_yolo/train.py", line 545, in main
train(opt.hyp, opt, device, callbacks)
File "/data/master21/zhujh/software/pythonProject/quantized-yolov5-quantized_yolo/train.py", line 333, in train
pred = model(imgs) # forward
File "/home/zhujh/anaconda3/envs/yolov5/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
return forward_call(*input, kwargs)
File "/data/master21/zhujh/software/pythonProject/quantized-yolov5-quantized_yolo/models/yolo.py", line 156, in forward
return self._forward_once(x, profile, visualize) # single-scale inference, train
File "/data/master21/zhujh/software/pythonProject/quantized-yolov5-quantized_yolo/models/yolo.py", line 179, in _forward_once
x = m(x) # run
File "/home/zhujh/anaconda3/envs/yolov5/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
return forward_call(*input, *kwargs)
File "/data/master21/zhujh/software/pythonProject/quantized-yolov5-quantized_yolo/models/common.py", line 150, in forward
x = self.conv(x)
File "/home/zhujh/anaconda3/envs/yolov5/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
return forward_call(input, kwargs)
File "/home/zhujh/anaconda3/envs/yolov5/lib/python3.7/site-packages/brevitas/nn/quant_conv.py", line 191, in forward
return self.forward_impl(input)
File "/home/zhujh/anaconda3/envs/yolov5/lib/python3.7/site-packages/brevitas/nn/quant_layer.py", line 311, in forward_impl
output_scale = output_scale * quant_input.scale.view(output_scale_shape)
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
Process finished with exit code 1
May I ask if there is a good and effective solution，thanks.